The marshal module is the oldest of the three listed above. It exists mainly to read and write the compiled bytecode of Python modules, or the .pyc files you get when the interpreter imports a Python module. So, even though you can use marshal to serialize some of your objects, it’s not recommended.

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Recall that when we saved this dictionary as a text file, we had to convert it to a string and lost its original state.

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print ( '##################################################################' ) print ( 'TCP session between client {} and server {}' . format ( client_ip_addr_port , server_ip_addr_port )) print ( '##################################################################' ) # Print format string if 'S' in pkt_data [ 'tcp_flags' ]: continue client_pkts . append ({ 'Time' : pkt_data [ 'relative_timestamp' ], 'Client window size' : pkt_data [ 'window' ]}) df = pd . DataFrame ( data = client_pkts ) df . plot ( x = 'Time' , y = 'Client window size' , color = 'r' ) plt . show () plt . close ()

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you are given two pcaps, one gathered on a SPAN port on an access switch, and another on an application server a few L3 hops away. At some point the application server sporadically becomes slow (retransmits on both sides, TCP windows shrinking etc.). Prove that it is (or is not) because of the network. The json module is the newest of the three. It allows you to work with standard JSON files. JSON is a very convenient and widely used format for data exchange. Free Bonus: 5 Thoughts On Python Mastery, a free course for Python developers that shows you the roadmap and the mindset you’ll need to take your Python skills to the next level. Serialization in Python

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You should get the following output: {'Student 1': {'Name': 'Alice', 'Age': 10, 'Grade': 4}, 'Student 2': {'Name': 'Bob', 'Age': 11, 'Grade': 5}, 'Student 3': {'Name': 'Elena', 'Age': 14, 'Grade': 8}} The printable_timestamp function is defined like this: import time def printable_timestamp ( ts , resol ): ts_sec = ts // resol ts_subsec = ts % resol ts_sec_str = time . strftime ( '%Y-%m-%d %H:%M:%S' , time . localtime ( ts_sec )) return '{}.{}' . format ( ts_sec_str , ts_subsec )

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Training a machine learning model is a time-consuming process that can take hours, and sometimes even many days. It simply is not feasible to retrain an algorithm from scratch when you need to reuse or transfer it to a different environment. Python offers three different modules in the standard library that allow you to serialize and deserialize objects:ccopy_reg\n_reconstructor\np0\n(c__main__\nFoo\np1\nc__builtin__\nobject\np2\nNtp3\nRp4\n(dp5\nS'x'\np6\nI2\nsb." If you’d like to learn about best practices when building machine learning algorithms, you can take our Designing Machine Learning Workflows in Python course. pairs. These items will be stored to the object using obj[key] = value. This is primarily used for dictionary subclasses, but may be used It is the process of storing a data structure in memory so that you can load or transmit it when required without losing its current state.